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Because the data categoricalness rules of architecture products are embodied in theCADM described by IDEF1X, the data categoricalness rules are directly established according to the relationship, which is described by the IDEF1X, among the data entity of CADM described by the IDEF1X. Then every item of data which is in the form of CADM criterion and stored in the database is checked according to the categoricalness rules, so that the data categoricalness of C~4ISR system architecture is executed.3. The verification methods of system accessibility based on CADM are studied.

2研究了基于CADM的数据完备性验证方法由于体系结构产品中数据元素的完备性规则已经完全表现在用IDEF1X描述的CADM模型中,所以论文根据IDEF1X对CADM数据实体之间关系的描述,直接建立了数据元素的完备性规则,然后根据完备性规则对以CADM规范存放在数据库中的每条数据进行检查,以此对C~4ISR系统体系结构数据进行完备性验证。

In this paper, it studied on data preprocessing including data cleaning, data conversion and data clustery, especially categorical variable with more characteristic item in data.

数据预处理备包括:数据清洗、数据转换以及变量聚类等,特别是对特征项过多的分类变量做了深入分析。

A data output control terminal 300 communicably connects a user-owned portable terminal 100, printing devices PR1 through PRn situated at various locations , and WWW servers DS1 through DSm, via the Internet 400, data printing requests are received from the portable terminal 100, data relating to the data printing request is obtained from a WWW server DS, one of the printing devices PR is selected, and the obtained data is output to the selected printing device PR.

数据输出控制终端300通过因特网400与用户所持的便携式终端100、分散设置在各地的打印装置PR 1 ~PR n 及WWW服务器DS 1 ~DS m 进行可通信连接,从便携式终端100接收数据打印请求,从WWW服务器DS获取与其数据打印请求有关的数据,选择某一打印装置PR,并向其所选择的打印装置PR输出所获取的数据。

Network information processing transfers the majority of processing and computing works into WSN based on original data collection. A mass of incomprehensible original data is extracted and inferred into meaningful and consultable data to some certain users. Meanwhile, by network information processing, the data transmission account and latency are decreased; the energy efficiency and data accuracy are increased.

传感器网络的网内信息处理技术在原始采集数据的基础上,将大量的信息处理和计算移植到传感网内部进行,从海量的、杂乱无章的、难以理解的原始数据中抽取并推导出对于某些特定的用户来说具有特定意义和判决参考价值的数据。

According to the order, the data of Caragana Korshinskii Kom is about 6.07 J/cm~2, 23.67 MPa, and 1787.98 MPa separately, and the data of Vitex is about 11.78 J/cm~2, 48.06 MPa and 3544.36 MPa separately. Additionally, the data of Fourfold Acacia is about 10.09 J/cm~2, 40.78 MPa and 2304.87 MPa , whereas the data of Grewia biloba var.parviflora is about 8.47 J/cm~2, 65.88MPa and 2523.88MPa respectively. The impact toughness four shrubs is in the bound of the data of wood in China, but the compressive strength and compression elastic modulus parallel to grain are some small than those of ordinary wood.

柠条的冲击强度为6.07J/cm~2,顺纹抗压强度为23.67MPa,顺纹抗压弹性模量(来源:AB75C论文网www.abclunwen.com)为1787.98MPa;荆条的冲击强度为11.78J/cm~2,顺纹抗压强度为48.06 MPa,顺纹抗压弹性模量为3544.36MPa;四倍体刺槐冲击强度为10.09 J/cm~2,顺纹抗压强度为40.78 MPa,顺纹抗压弹性模量为2304.87 MPa;扁担木的冲击强度为8.47J/cm~2,顺纹抗压强度为65.88MPa,顺纹抗压弹性模量为2523.88 MPa。

Architecture of the data integration system for the distributed and heterogonous data resources was proposed based on the grid, through which the application can find and bind the data resource at the moment of need. And in the processing of choosing he data resources, the model based on Qos was adopted, which can avoid the fail of data resources effectively.

在利用现有的访问网格中异构数据源方法的基础上,提出了基于网格服务的异构数据源集成体系结构,可以在应用过程中动态绑定数据源;同时在选择数据服务的时候采用基于Qos的选择模型,可以有效的避免服务失效的现象。

To analyze and compare the characters of Fuzzy c-Means clustering and artificial immune network aiNet clustering, conclude that Fuzzy c-Means clustering does not work well if the underlying classes or clusters deviate strongly from hyperspherical structures, aiNet is capable of reducing redundancy, describing data structure, including the shape of clusters by experiments on relatively gathering data set, scattering data set, annular data set and corkscrew data set.

分析比较了模糊C 均值聚类算法FCM 和人工免疫网络aiNet 聚类算法的特性,通过它们对相对集中数据、稀疏分散数据、环状和螺旋分布数据聚类来进行比较,得到当遇到潜在的类或簇背离超球面结构时,FCM 算法表现不佳,而aiNet 可以很好的发现数据的内在特征,减少数据中的冗余、描述数据结构和聚类形状,表现良好的适应性。

Nextly, develop a fault diagnosis data collecting system which solved real-time dataacquisition in the power system fault diagnosis, the data message is analysed in detail andextract the data required in fault diagnosis, this system can not only collect data but alsotransmit the data information to attemper and provide a necessary condition for electric powersystem fault diagnosis On-line.

其次,开发电力系统故障诊断数据信息采集系统,该系统解决了电力系统故障诊断过程中故障特征信息很难实时获取的问题,同时对数据报文进行了详细的分析,提取出故障特征信息,该系统不但可以采集数据,而且还可以将数据信息实时传送至调度,为电力系统大规模在线故障诊断提供了必要的条件。

The method comprises A: separately configuring different common channel priority indication for different service data stream transmitted on same dedicated service channel; B: according to sequence from high to low of public channel priority indication for different data stream, priorly scheduling public channel high priority indication service data stream for transmitting at every moment; C: if service data stream of low common channel priority indication being not scheduled in a preset reference time period, then upgrading the service data stream common channel priority indication, then return to B.

分别为在同一专用业务信道上传输的不同业务数据流配置不同的公共信道优先级指示;B。在每一时刻,所述专用业务信道按照不同业务数据流的公共信道优先级指示由高至低的顺序,优先调度公共信道优先级指示高的业务数据流进行传输;并C。预设一参考时间段,若公共信道优先级指示低的业务数据流在所述参考时间段内总没有得到调度,则将该业务数据流的公共信道优先级指示升高,然后返回B。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征,提出基于k-means的二次聚类方法,对交通流量在流量大小和时间上进行模式划分,进而对各个交通流模式进行基于BP神经网络的描述和预测,从而提高模型对流量预测的精度; 2)根据流量/时间占有率倒&V&字形曲线分布模型,提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法,实际应用表明该方法能够有效识别异常数据,然后根据移动平均算法对异常数据进行修正; 3)基于序列相关性分析,分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析,选择相似性流量序列,作为辅助序列提供其他没有检测器路口的流量估计; 4)设计和实现了基于SOA(Service-Oriented Achitecture)的高性能、可扩展的智能交通数据挖掘系统UTDD,该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口,实现数据挖掘应用的统一管理和调用,最后在UTDD上建立了基于路口流量预测的应用模型。

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相关中文对照歌词
Rank-N-File
Blank File
File Under Action
Data De Groove
We've Got A File On You
Single File
The Sexy Data Tango
The Sexy Data Tango (BiTrektual Version)
Baby
Pra Te Fazer Lembrar
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您的推杆方式,通过36个有趣的填孔迷你的三维设计的课程,以提升绿党,掩体,桥梁和水的危害,除其他疯狂的障碍。

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